Double robust estimator in general treatment regimes based on Covariate-balancing

Double robust estimators have double the chance of being a consistent estimator of a causal effect in binary treatments cases. In this paper, we proposed an estimator of a causal effect for general treatment regimes based on covariate-balancing. Under parametrical situation, our estimator has double...

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Veröffentlicht in:Communications in statistics. Theory and methods Jg. 48; H. 3; S. 462 - 478
Hauptverfasser: Orihara, Shunichiro, Hamada, Etsuo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Philadelphia Taylor & Francis 01.02.2019
Taylor & Francis Ltd
Schlagworte:
62-02
Balancing
Causal effect
Covariate-balancing
Double robust estimator
General treatment regimes
ISSN:0361-0926, 1532-415X
Online-Zugang:Volltext
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Zusammenfassung:Double robust estimators have double the chance of being a consistent estimator of a causal effect in binary treatments cases. In this paper, we proposed an estimator of a causal effect for general treatment regimes based on covariate-balancing. Under parametrical situation, our estimator has double robustness.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0361-0926
1532-415X
DOI:10.1080/03610926.2017.1414259